{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d0e4ad58-9eeb-43c4-811a-9c701321afe1",
   "metadata": {},
   "source": [
    "# Compute zonal stats for protected areas with vector data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b756f206-651f-459e-8977-1fb99afeab27",
   "metadata": {},
   "outputs": [],
   "source": [
    "from vector_utils import *\n",
    "import os\n",
    "import sys\n",
    "base_dir = os.path.abspath(os.path.join(os.getcwd(), '..'))\n",
    "if base_dir not in sys.path:\n",
    "    sys.path.insert(0, base_dir)\n",
    "    \n",
    "from minio_utils import * \n",
    "con, _ = connect_minio()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1d692e2-a5bb-4c1d-b679-48af858d5853",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time \n",
    "# run for all metrics, files, and gap codes \n",
    "metric = 'overlap'\n",
    "label = 'gap1'\n",
    "index = 0\n",
    "\n",
    "vector_stats, save_url = get_vector_stats(con, index, label, metric)\n",
    "vector_stats.to_parquet(save_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc1dedcd-6823-41fd-a8da-2d118a33ca70",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.lib.display import Audio\n",
    "import numpy as np\n",
    "\n",
    "framerate = 4410\n",
    "play_time_seconds = 1\n",
    "\n",
    "t = np.linspace(0, play_time_seconds, framerate*play_time_seconds)\n",
    "audio_data = np.sin(2*np.pi*300*t) + np.sin(2*np.pi*240*t)\n",
    "Audio(audio_data, rate=framerate, autoplay=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "212e9d19-caf1-429a-a42c-a5377b9e7b05",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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